Stock Market Cycles and Future Trend Estimation
AbstractContemporary period was an unprecedented growth of stock markets in both developed economies and in emerging ones. The process of financial development has led to substantial changes in the behavior of the stock markets. Recent articles have been oriented to determine the relationship between financial liberalization and stock market cycles (Edwards et al. 2003; Kaminsky and Schmukler 2003). These articles have analyzed the stock exchanges in different countries focusing on the market movements in growth phases (bull) and downward (bear). This study uses the ARIMA methodology, that consists in estimating Minimum Mean Square Error (MMSE - minimum mean square error or ”signal extraction”) of hidden and unobserved components existing in a time series as it is developed in the work of Cleveland and Tiao (1976), Burman (1980), Hillmer and Tiao (1982), Bell and Hillmer (1984) and Maravall and Pierce (1987). The study uses data representing quarterly closing prices for the period 01.03.1998 – 01.06.2011 (52 observations) of a number of 5 european indices: AEX (Netherlands), ATX (Austria), CAC40 (France), DAX (Germany), FTSE (UK) and a US stock index – Dow Jones Industrial Average. Chosen indices characterize the evolution of mature stock markets. The data used are taken from Thompson Reuters database. The study allows identification, for the mature stock markets, the three distinct cycles in the period 1998–2011, cycle I – 1998–2002, cycle II – 2003–2008, cycle III – 2009–present. The moments of instability triggered by the actual crisis and the dot.com crisis significantly influenced all stock markets, the effects of the latter influence and their future trend. Thus, we identify a medium-term downward trend for European indices CAC40 and AEX and short-term index ATX. The estimation for European indices DAX, FTSE and Dow Jones Industrial Average US shows a medium-term growth trend.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 40332.
Date of creation: 2012
Date of revision:
stock market; cycle stock; stock index; ARIMA model;
Find related papers by JEL classification:
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G01 - Financial Economics - - General - - - Financial Crises
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bell, William R & Hillmer, Steven C, 1984. "Issues Involved with the Seasonal Adjustment of Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 291-320, October.
- Kaminsky, Graciela Laura & Schmukler, Sergio L., 2002.
"Short-run pain, long-run gain : the effects of financial liberalization,"
Policy Research Working Paper Series
2912, The World Bank.
- Graciela Kaminsky & Sergio Schmukler, 2003. "Short-Run Pain, Long-Run Gain: The Effects of Financial Liberalization," NBER Working Papers 9787, National Bureau of Economic Research, Inc.
- Sergio L. Schmukler & Graciela Laura Kaminsky, 2003. "Short-Run Pain, Long-Run Gain: The Effects of Financial Liberalization," IMF Working Papers 03/34, International Monetary Fund.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.